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尼日利亚拉各斯一项基于社区的研究中环境态度量表的因子结构

The Factor Structure of the Environmental Attitude Scale in a Community-Based Study in Lagos, Nigeria.

作者信息

Dipeolu A A, Akpa O M, Fadamiro A J

机构信息

Department of Architecture, College of Engineering and Environmental Studies, Olabisi Onabanjo University, Ibogun-Ifo, Nigeria.

Department of Epidemiology and Medical Statistics, College of Medicine, University of Ibadan, Nigeria.

出版信息

Afr J Environ Health Sci. 2019 Nov;6:51-64.

Abstract

Environmental Attitude (EA) has been understood to be a complex multidimensional construct with minimal empirical evidence in developing countries. In the present study, psychometric properties of an EA scale was empirically assessed using data from a community based study conducted in Nigeria. Different measures of EA were aggregated into a single EA scale and administered to 1,858 individuals. Mean (Standard deviation) and proportions were used to describe the distribution of continuous and discrete data respectively. Reliability of the scale was assessed using Cronbach alpha. Varying hypothetical models of the EA were assessed using Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA). Data were analysed using IBM SPSS version 20 and AMOS version 21 at 5% significant level. Overall mean score and alpha coefficient for the combined EA measure was 381.7 (49.0) and 0.928 respectively. A 3-factor structure accounting for 36% cumulative variance in the scale item was extracted in an EFA. A non-orthogonal 3-factor model was a significant improvement over the original none-correlated 5-factor model [χ(1344)=29216.33, P<0.001; CAIC=9816.870]. The conceptualization of the EA as a non-orthogonal 3-factor structure provides a better fit to the present data. The 3-factor structure is advised in Nigeria and similar settings.

摘要

环境态度(EA)被认为是一个复杂的多维度概念,在发展中国家,关于它的实证证据很少。在本研究中,使用来自尼日利亚一项社区研究的数据,对一个EA量表的心理测量特性进行了实证评估。将不同的EA测量方法汇总为一个单一的EA量表,并施测于1858名个体。分别用均值(标准差)和比例来描述连续数据和离散数据的分布。使用克朗巴哈系数评估量表的信度。使用探索性因素分析(EFA)和验证性因素分析(CFA)评估EA的不同假设模型。在5%的显著水平下,使用IBM SPSS 20版和AMOS 21版对数据进行分析。合并后的EA测量指标的总体平均得分和阿尔法系数分别为381.7(49.0)和0.928。在探索性因素分析中提取了一个三因素结构,该结构在量表项目中解释了36%的累积方差。一个非正交三因素模型比原始的非相关五因素模型有显著改进[χ(1344)=29216.33,P<0.001;CAIC=9816.870]。将EA概念化为非正交三因素结构能更好地拟合当前数据。建议在尼日利亚及类似环境中采用三因素结构。

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